161 search results - page 31 / 33 » Convergence Problems of General-Sum Multiagent Reinforcement... |
AI
2007
Springer
15 years 3 months ago
2007
Springer
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
109
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IDEAL
2004
Springer
15 years 3 months ago
2004
Springer
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
93
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AOIS
2004
14 years 11 months ago
2004
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
101
click to vote
NIPS
2008
14 years 11 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...